Accurate deformable object manipulation (DOM) is essential for achieving...
Towards flexible object-centric visual perception, we propose a one-shot...
Implicit neural representation has emerged as a powerful method for
reco...
Deformable Image Registration (DIR) plays a significant role in quantify...
Type 1 diabetes is a serious disease in which individuals are unable to
...
Without ground truth supervision, self-supervised depth estimation can b...
With the rise of hailing services, people are increasingly relying on sh...
Accurate and robust tracking and reconstruction of the surgical scene is...
Existing evaluation metrics for Person Re-Identification (Person ReID) m...
Resiliency is the ability to quickly recover from a violation and avoid
...
Accurate instrument segmentation in endoscopic vision of robot-assisted
...
With the assistance of sophisticated training methods applied to single
...
Deep learning-based methods have achieved promising results on surgical
...
The intelligent perception of endoscopic vision is appealing in many
com...
Even though model predictive control (MPC) is currently the main algorit...
Accurate and real-time surgical instrument segmentation is important in ...
Convolutional neural networks (CNNs) have achieved breakthrough performa...
We present a new method for the automated synthesis of digital controlle...
Most existing real estate appraisal methods focus on building accuracy a...
An Implantable Cardioverter Defibrillator (ICD) is a medical device used...
Most existing person re-identification (Re-ID) approaches follow a super...
The popularity of rule-based flocking models, such as Reynolds' classic
...